Class |
Date |
Topic / Link to Slides |
Reading Guide |
Homework |
Comments/ Handouts |
|
1 | Tue 1/28 | Course overview; What is AI? | Ch. 1; Lisp Ch. 1; McCarthy paper | Pretest and HW1 out | ||
2 | Th 1/30 | Agents; intro to Lisp | Ch. 2; Lisp Ch. 2-3; Graham article | Survey due
Signed grading policy due |
Fibonacci Lisp example | |
3 | Tue 2/4 | Problem solving as search; Lisp lab | Ch. 3.1-3.3; Lisp Ch. 4-5, App. A | Pretest due | ||
4 | Thu 2/6 | Uninformed search; Lisp lab | Ch. 3.4 |
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5 | Tue 2/11 | Informed search | Ch. 3.5-3.7, Lisp Ch. 7 | HW2 out | ||
6 | Thu 2/13 | NO CLASS - SNOW DAY | ||||
7 | Tue 2/18 | Local search, genetic algorithms | Ch. 4.1-4.2 | HW1 due |
7pm - GAME NIGHT (ENG 231) - pizza in the hallway at 6:45! | |
8 | Thu 2/20 | Constraint satisfaction | Ch. 6.1-6.4 (skip 6.3.3); supplementary: Vipin Kumar, "Algorithms for Constraint Satisfaction Problems: A Survey" | |||
9 | Tue 2/25 | Game playing | Ch. 5.1-5.3, 5.4.1, 5.5 | |||
10 | Thu 2/27 | Probabilistic reasoning | Ch. 13 | |||
11 | Tue 3/4 | Bayesian networks | Ch. 14.1-14.4.2 | HW2 due HW3 out | ||
12 | Thu 3/6 | Decision making under uncertainty | Ch. 15.1-15.2.1, 16.1-16.3 | Project teams formed | Enumeration example
Variable elimination example |
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13 | Tue 3/11 | Multi-agent systems | Ch. 17.5-17.6 | |||
14 |
Thu 3/13 | NO CLASS - WATER DAY | ||||
Tue 3/18 Thu 3/20 |
15 | Tue 3/25 | Machine learning I: Decision trees | Ch. 18.1-18.3 | HW3 due HW4 out |
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16 | Thu 3/27 | Machine learning II: Other techniques | Ch. 20.1-20.2 | Project design due | Info Gain example | |
17 | Tue 4/1 (not kidding) | MIDTERM (covers material through class #13 ONLY) |
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18 | Thu 4/3 | Lisp Lab - ID3 / information gain | -- |
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19 | Tue 4/8 | Knowledge-based agents; propositional logic | Ch. 7 | HW4 dueHW5 out | ||
20 | Thu 4/10 | First-order logic | Ch. 8.1-8.3 | Wumpus proof | ||
21 | Tue 4/15 | Logical inference | Ch. 9 | Phase I tournament dry run | Dr. desJardins out of town; guest lecturer Max Morawski | |
22 | Thu 4/17 | Logical inference, cont.; knowledge representation | Ch. 12.1-12.2, 12.5-12.6 | Dr. desJardins out of town; guest lecturer Max Morawski | ||
23 | Tue 4/22 | PHASE I TOURNAMENT | Phase I code due |
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24 | Thu 4/24 | State space and partial-order planning | Ch. 10.1-10.2, 10.4.2-10.4.4 | HW5 due HW6 out |
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25 | Tue 4/29 | Probabilistic planning | Ch. 17.1-17.3 | |||
26 | Thu 5/1 | Reinforcement learning | Ch. 21.1-21.3 | |||
27 | Tue 5/6 | Philosophy and history of AI | Turing article Searle article Summary of Kurzweil's book Kevin Kelly's critique |
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28 | Thu 5/8 | TBA/catchup/review | MDP solution | |||
29 | Tue 5/13 | PHASE II TOURNAMENT | Phase II code | |||
-- | Thu 5/15 | FINAL EXAM (10:30am-12:30pm, ITE 233!!) | ||||
-- | Mon 5/19 | Project and final report due |